Le prestazioni della funzione analitica possono dipendere dall'ordine delle colonne dell'indice. Modifica dell'indice da (ACCTNUM,DEPT_NUM) a (DEPT_NUM,ACCTNUM) può ridurre il costo ed eliminare la necessità di uno spazio tabella temporaneo.
partition by COL_2 order by COL_1 => INDEX FAST FULL SCAN|WINDOW SORT PUSHED RANK
partition by COL_1 order by COL_2 => INDEX FULL SCAN|WINDOW NOSORT
INDEX FAST FULL SCAN utilizza IO multiblocco più veloce ma richiede anche l'ordinamento dei dati e possibilmente uno spazio tabella temporaneo per l'area di ordinamento.
INDEX FULL SCAN utilizza IO a blocco singolo più lento ma restituisce i dati in ordine ed evita l'ordinamento.
Schema e dati di esempio
--drop table mytable;
create table mytable(dept_num number not null, acctnum number not null
,a number, b number, c number, d number, e number);
insert into mytable
select 1 dept_num, 1 acctnum, 0,0,0,0,0 from dual union all
select 1 dept_num, 2 acctnum, 0,0,0,0,0 from dual union all
select 1 dept_num, 3 acctnum, 0,0,0,0,0 from dual union all
select 2 dept_num, 1 acctnum, 0,0,0,0,0 from dual union all
select 2 dept_num, 2 acctnum, 0,0,0,0,0 from dual union all
select 3 dept_num, 1 acctnum, 0,0,0,0,0 from dual;
--Create 600K similar rows.
insert into mytable
select dept_num + rownumber*3, acctnum, a,b,c,d,e
from mytable
cross join (select level rownumber from dual connect by level <= 100000);
begin
dbms_stats.gather_table_stats(user, 'mytable');
end;
/
(ACCTNUM,DEPT_NUM) =ORDINAMENTO FINESTRA PUSHED RANK
create index mytable_idx on mytable(acctnum, dept_num);
explain plan for
select dept_num, acctnum from
(
select dept_num, acctnum
,row_number() over (partition by dept_num order by acctnum) as row_identifier
from mytable
)
where row_identifier between 1 and 10;
select * from table(dbms_xplan.display);
Plan hash value: 952182109
------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 600K| 22M| | 1625 (3)| 00:00:23 |
|* 1 | VIEW | | 600K| 22M| | 1625 (3)| 00:00:23 |
|* 2 | WINDOW SORT PUSHED RANK| | 600K| 4687K| 9424K| 1625 (3)| 00:00:23 |
| 3 | INDEX FAST FULL SCAN | MYTABLE_IDX | 600K| 4687K| | 239 (3)| 00:00:04 |
------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("ROW_IDENTIFIER">=1 AND "ROW_IDENTIFIER"<=10)
2 - filter(ROW_NUMBER() OVER ( PARTITION BY "DEPT_NUM" ORDER BY "ACCTNUM")<=10)
(DEPT_NUM,ACCTNUM) =FINESTRA NOSORT
drop index mytable_idx;
create index mytable_idx on mytable(dept_num, acctnum);
explain plan for
select dept_num, acctnum from
(
select dept_num, acctnum
,row_number() over (partition by dept_num order by acctnum) as row_identifier
from mytable
)
where row_identifier between 1 and 10;
select * from table(dbms_xplan.display);
Plan hash value: 1773829932
---------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
---------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 600K| 22M| 792 (2)| 00:00:12 |
|* 1 | VIEW | | 600K| 22M| 792 (2)| 00:00:12 |
|* 2 | WINDOW NOSORT | | 600K| 4687K| 792 (2)| 00:00:12 |
| 3 | INDEX FULL SCAN| MYTABLE_IDX | 600K| 4687K| 792 (2)| 00:00:12 |
---------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("ROW_IDENTIFIER">=1 AND "ROW_IDENTIFIER"<=10)
2 - filter(ROW_NUMBER() OVER ( PARTITION BY "DEPT_NUM" ORDER BY
"ACCTNUM")<=10)
